| Product | Rating | Most Used By | Product Summary | Starting Price |
|---|---|---|---|---|
 JAX | Score8 out of 10 | N/A | JAX, an open-source Google project, is Autograd and XLA, brought together for high-performance machine learning research. With its updated version of Autograd, JAX can automatically differentiate native Python and NumPy functions. It is free and open source under an Apache 2.0 license. | $0 |
 TensorFlow | Score8.2 out of 10 | N/A | TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google. | N/A |
| JAX | TensorFlow | |||||||||||||||
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| Editions & Modules | No answers on this topic | No answers on this topic | ||||||||||||||
| Offerings |
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| Entry-level Setup Fee | No setup fee | No setup fee | ||||||||||||||
| Additional Details | — | — | ||||||||||||||
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| JAX | TensorFlow | |
|---|---|---|
| Considered Both Products | No answer on this topic | Chose TensorFlow Incentivized Independently Invited by TrustRadius A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info |
| Key User Insights | ||
| Would buy again | ||
No answers on this topic | No answers on this topic | |
| Delivers good value for the price | ||
No answers on this topic | No answers on this topic | |
| Happy with the feature set | ||
No answers on this topic | No answers on this topic | |
| Lived up to sales and marketing promises | ||
No answers on this topic | No answers on this topic | |
| Implementation went as expected | ||
No answers on this topic | No answers on this topic | |
| JAX | TensorFlow | |
|---|---|---|
| Likelihood to Recommend | - | 6.0 |
| Usability | - | 9.0 |
| Support Rating | - | 9.1 |
| Implementation Rating | - | 8.0 |
